引导式测验 · 中等 等级

野生动物保护监测中的人工智能测验

了解人工智能如何对相机陷阱图像进行分类、分析野生动物的声音并帮助保护团队优先考虑现场响应。

相关引导路径人工智能在野生动物保护监测中的应用
问题 1 的 8

为什么人工智能对于相机陷阱保护项目特别有用？

预览每个问题8 问题

当您参加测验时，就会出现答案和解释。

  1. 为什么人工智能对于相机陷阱保护项目特别有用？
    • 相机生成的图像远多于人类手动查看的图像
    • 相机需要人工智能才能在夜间拍照
    • 人工智能使相机的制造成本更低
    • 仅当人工智能运行时动物才会出现在相机上
  2. In an automated forest-wildlife sound-classification workflow, how can a CNN receive the recordings?
    • As GPS coordinates with no audio features
    • As spectrogram images generated from short audio clips
    • As handwritten transcripts from field staff only
    • As RGB images of animal tracks in soil
  3. 动物个体的“重新识别”靠什么？
    • 每只动物都佩戴 GPS 项圈
    • 要求护林员记住每只动物
    • 使用学习的嵌入来匹配独特的标记
    • 在动物身上画数字
  4. 雨林连接系统如何帮助打击非法采伐？
    • 它会自动种植新树
    • 它堵塞了通往森林的道路
    • 它每天拍摄每棵树
    • 它可以检测电锯和车辆的声音，并实时向护林员发出警报
  5. 为什么迁移学习在野生动物视觉模型中很常见？
    • 即使特定物种的训练图像有限，它也能让模型正常工作
    • 它消除了对任何相机的需要
    • 它在栖息地之间转移动物
    • 它只对家畜有效
  6. What can an edge AI device do in a remote wildlife-monitoring deployment?
    • Guarantee longer battery life regardless of hardware and workload
    • Analyze sensor data on-site, which may reduce raw data transfer depending on system design
    • Identify every species without uncertainty or human review
    • Make acoustic sensors unnecessary in all field studies
  7. How can Wildlife Insights AI reduce the manual workload of reviewing camera-trap images?
    • It permanently deletes every image without a species label
    • It identifies every individual animal without human review
    • It can flag blank images so reviewers spend less time sorting photos without animals
    • It replaces camera-trap data with satellite imagery
  8. How can passive acoustic monitoring support protection of North Atlantic right whales?
    • It reads the whales’ DNA from underwater video
    • It prevents ships from entering all ocean areas
    • It replaces every visual and ship-based survey
    • Hydrophones detect whale calls, and confirmed detections can trigger vessel slow zones